# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Ont/Marcoroni-13B")
model = AutoModelForCausalLM.from_pretrained("Ont/Marcoroni-13B")Quick Links
Marcoroni-13B - Safetensors
A conversion of the original model [AIDC-ai-business/Marcoroni-13B] to safetensors format.
Marcoroni-13B
Model Details
- Trained by: trained by AIDC AI-Business.
- Model type: Marcoroni-13B is an auto-regressive language model based on the Llama 2 transformer architecture.
- Language(s): English
- License for Marcoroni-13B base weights: Non-Commercial Creative Commons license (CC BY-NC-4.0)
Prompting
Prompt Template for alpaca style
### Instruction:
<prompt> (without the <>)
### Response:
Evaluation Results (Open LLM Leaderboard)
| Metric | Value |
|---|---|
| Avg. | 65.76 |
| ARC (25-shot) | 62.46 |
| HellaSwag (10-shot) | 83.27 |
| MMLU (5-shot) | 59.63 |
| TruthfulQA (0-shot) | 57.7 |
- Downloads last month
- 11
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Ont/Marcoroni-13B")